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Keynote SpeakerTanmay Bakshi

AI/ML Architect, TED Speaker, Author, Media Personality, LinkedIn Top 25 Influencer, Google Developer Expert for ML

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Popular Talks

GenAI, Demystified — From Buzzwords to Better Products
Bringing the Youth Into Technology — Preparing Young Builders for an AI-Infused Future
Agents That Actually Help — Human-Centered AI for Healthcare and Other High-Stakes Work
From AI Pilot to Platform — Teams, Talent, and MLOps That Scale

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Biography

Recognized as The Toronto Star’s “Newsmaker of the Year” in 2013 after publishing an acclaimed iOS app at age nine, Tanmay Bakshi is an internationally celebrated AI prodigy, keynote speaker, and technological innovator. In 2013, Bloomberg Businessweek named him among its top young entrepreneurs. Over the past decade, he has delivered keynotes on AI, innovation, and the future of technology across 30+ countries, presenting for the United Nations, Apple, Walmart, Microsoft, Google, KPMG, the Linux Foundation, Heineken, Shell, HSBC, and Amazon, reaching more than 400,000 business leaders, government officials, developers, and students.

Tanmay’s roles span engineering and education: AI & Software Architect for IBM watsonx; Google Developer Expert for Machine Learning; TED and keynote speaker; author; researcher at iU B Lab Tokyo; and instructor at the University of Winnipeg. He also maintains a prominent media and YouTube presence. He set out to empower 100,000 people with technology, an impact milestone he has already surpassed, and his work has been featured by Forbes, The Wall Street Journal, The New York Times, CNBC, CBC, and many more.

He is the author of four technology books: Hello Swift!; Cognitive Computing with IBM Watson; and McGraw-Hill’s Tanmay Teaches series, Tanmay Teaches Go and Tanmay Teaches Julia. The latter two have been translated into Korean and Japanese respectively, expanding access for learners worldwide.

From his beginnings as a coder at age five, Tanmay continues to drive applied AI with IBM, contributing to McDonald’s drive-thru voice agents, building AI-assisted songwriting tools, and developing heartbeat-based individual recognition and EEG-based mental-state decoding.
His contributions have been recognized with the Knowledge Ambassador Award from the Mohammed Bin Rashid Al Maktoum Knowledge Foundation, Twilio’s Doer Award, the Life Mentor Award from the Creative Foundation, and the Young Edison Award from Shanghai TV, just to name a few.

"I have known Tanmay Bakshi for probably close to 8 years. In that time I have watched him grow from a budding tech genius...into a full-grown tech genius. No exaggeration. We produce corporate events, and I can remember working with Tanmay when he spoke as a young teenager, maybe 12 years old, at a huge IBM conference. He blew me - and our IBM executives - away with his knowledge, his expertise, as well as his composure and his confidence on-stage. I knew then he was destined to be a technology superstar. Move over Mark Zuckerberg and Elon Musk. Here comes Tanmay Bakshi. I cannot say enough good things about this young man. I recommend him highly." Mark Felix, Noise Maker, Director Entertainment Services, Drury

“Tanmay Bakshi has been recognized in the legislative assembly of Manitoba, Canada at the age of 12. His keynotes transcend the traditional boundaries of technology. Tanmay’s talk on creativity and AI technology, their intersection and wider impact on society, which he delivered as keynote speaker at the Creative Foundation’s 20th anniversary at the tender age of 15 left an indelible impression on the Hon. Lt. Gov. of Manitoba, and drew a standing ovation from all the attendees. One does not need to be tech-savvy to appreciate, be inspired and garner an intuitive comprehension of technology from his discourse.” Yisa Akinbolaji, Member of Order of Canada; Chairman & Founder, Creative Foundation Inc.

"Tanmay is a genius. It's always a pleasure to have him speak at our Google community conferences. His talks are jaw-dropping, consistently among the highest-rated, and leave audiences in awe.He has an exceptional ability to simplify complex topics, offering fresh perspectives on problem-solving—whether through his insightful analogies or his unique way of connecting technical concepts to real-world applications. More than just a speaker, Tanmay inspires. His passion for AI and technology's broader impact resonates with students and professionals alike.With his engaging delivery, adaptability, and deep technical expertise, Tanmay always leaves a lasting impact. He doesn't just share knowledge—he sparks curiosity and innovation." Oleksandr Levinsky, Lead Organizer, Google Developer Group Waterloo

"I had the incredible opportunity to attend a keynote given by Tanmay Bakshi during an event for Google Developers Group: On Campus. Starting from first principles and transitioning into current-day advancements, he discussed the fascinating topic of Generative AI in a way that was engaging to everyone in the audience. Tanmay illustrated the concepts with interesting real-world examples and enthusiastically shared his thoughts during his talk. He effectively answered questions, and members of the audience were impressed with his eloquence, witty humor, and experience. Tanmay’s passion for AI was evident throughout his keynote, which made the presentation inspiring and impactful. After the presentation, I was left with a much clearer understanding of the technology and its potential. Tanmay Bakshi is an insightful speaker with detailed knowledge and a strong passion for AI, and it was a pleasure having him as a guest speaker." Brooke Nelson, On-Campus Organizer, Google Developer Group University of Colorado Boulder

Popular Talks by Tanmay Bakshi

GenAI, Demystified — From Buzzwords to Better Products
What’s actually new about “generative” AI, and what isn’t? What was the “accident” that kicked off the domino effect of research we’re riding today, and what does it teach us about capabilities, limitations, and where this technology really creates value? How do we separate novelty from usefulness, move beyond hype...

What’s actually new about “generative” AI, and what isn’t? What was the “accident” that kicked off the domino effect of research we’re riding today, and what does it teach us about capabilities, limitations, and where this technology really creates value? How do we separate novelty from usefulness, move beyond hype cycles, and design for outcomes that make users feel delighted — focusing on speed, clarity, and graceful recovery when things go wrong — especially in conversational settings where trust can be earned or lost in just one turn?
Bringing the Youth Into Technology — Preparing Young Builders for an AI-Infused Future
How can we set up the next generation to thrive in a world where AI is part of every career — even the ones that don’t exist yet — and why is this especially critical now? How do we help students turn their curiosity into real projects, and to...

How can we set up the next generation to thrive in a world where AI is part of every career — even the ones that don’t exist yet — and why is this especially critical now? How do we help students turn their curiosity into real projects, and to emphasize the skillset that compounds for life: learning how to learn, data literacy, ethics, and collaboration with machines? The goal: youth who can adapt continuously, build responsibly, and lead confidently as the world keeps changing under their feet.
Agents That Actually Help — Human-Centered AI for Healthcare and Other High-Stakes Work
What changes when we move from prompt-in/answer-out to goal-seeking agents working alongside people and tools? How do we keep systems useful and safe in domains where consent, context, and clarity are non-negotiable, and how do we decide what not to automate? We’ll explore patterns for oversight, measurement that reflects real-world...

What changes when we move from prompt-in/answer-out to goal-seeking agents working alongside people and tools? How do we keep systems useful and safe in domains where consent, context, and clarity are non-negotiable, and how do we decide what not to automate? We’ll explore patterns for oversight, measurement that reflects real-world impact, and interface choices — like pace, turn-taking, and “I didn’t catch that” moments — that make or break trust in autonomous problem-solving systems in the wild.
From AI Pilot to Platform — Teams, Talent, and MLOps That Scale
What does it take to go from a cool demo to a durable capability, again and again? How should leaders structure teams, roles, and rhythms so that every project gets faster, safer, and more reliable than the last?